Stochastic Geometry For Image Analysis PDF Download
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Author | : Xavier Descombes |
Publisher | : John Wiley & Sons |
Total Pages | : 215 |
Release | : 2013-05-06 |
Genre | : Technology & Engineering |
ISBN | : 1118601130 |
Download Stochastic Geometry for Image Analysis Book in PDF, ePub and Kindle
This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed. Numerous applications, covering remote sensing images, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling.
Author | : M. N. M. Van Lieshout |
Publisher | : |
Total Pages | : 172 |
Release | : 1991 |
Genre | : |
ISBN | : |
Download Stochastic Geometry Models in Image Analysis and Spatial Statistics Book in PDF, ePub and Kindle
Author | : David Coupier |
Publisher | : Springer |
Total Pages | : 232 |
Release | : 2019-04-09 |
Genre | : Mathematics |
ISBN | : 3030135470 |
Download Stochastic Geometry Book in PDF, ePub and Kindle
This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.
Author | : Elke Thönnes |
Publisher | : |
Total Pages | : 288 |
Release | : 1998 |
Genre | : |
ISBN | : |
Download Perfect and Imperfect Simulations in Stochastic Geometry in Image Analysis Book in PDF, ePub and Kindle
Author | : Wilfrid S. Kendall |
Publisher | : Routledge |
Total Pages | : 424 |
Release | : 2019-06-10 |
Genre | : Mathematics |
ISBN | : 1351413716 |
Download Stochastic Geometry Book in PDF, ePub and Kindle
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
Author | : Danish Natural Science Research Council |
Publisher | : |
Total Pages | : 299 |
Release | : 1996 |
Genre | : |
ISBN | : |
Download Stochastic Geometry, Stereology and Image Analysis Book in PDF, ePub and Kindle
Author | : Maria Nicolette Margaretha Lieshout |
Publisher | : |
Total Pages | : 175 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Stochastic Geometry Models in Image Analysis and Spatial Statistics Book in PDF, ePub and Kindle
Author | : Giovanni Peccati |
Publisher | : Springer |
Total Pages | : 359 |
Release | : 2016-07-07 |
Genre | : Mathematics |
ISBN | : 3319052330 |
Download Stochastic Analysis for Poisson Point Processes Book in PDF, ePub and Kindle
Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics. Due to its close ties with stereology and spatial statistics, the results in this area are relevant for a large number of important applications, e.g. to the mathematical modeling and statistical analysis of telecommunication networks, geostatistics and image analysis. In recent years – due mainly to the impetus of the authors and their collaborators – a powerful connection has been established between stochastic geometry and the Malliavin calculus of variations, which is a collection of probabilistic techniques based on the properties of infinite-dimensional differential operators. This has led in particular to the discovery of a large number of new quantitative limit theorems for high-dimensional geometric objects. This unique book presents an organic collection of authoritative surveys written by the principal actors in this rapidly evolving field, offering a rigorous yet lively presentation of its many facets.
Author | : Cantabrian Education Council |
Publisher | : |
Total Pages | : 332 |
Release | : 1998 |
Genre | : |
ISBN | : |
Download Stereology, Stochastic Geometry and Image Analysis Book in PDF, ePub and Kindle
Author | : Agnès Desolneux |
Publisher | : Springer Science & Business Media |
Total Pages | : 278 |
Release | : 2007-12-18 |
Genre | : Computers |
ISBN | : 0387726357 |
Download From Gestalt Theory to Image Analysis Book in PDF, ePub and Kindle
This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The book is mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and numerous examples based on specific images on which the theory is tested. Detailed exercises at the end of each chapter help the reader develop a firm understanding of the concepts imparted.